Annotation Libraries

23 Components & Libraries

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Annotation Libraries

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

There are options: Below shows how to build the standalone executable on macOS, Linux and Windows.

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

There are options: A few object categories and images: Below shows how to build the standalone executable on macOS, Linux and Windows.

Open source annotation tool for machine learning practitioners.

doccano is an open-source text annotation tool for humans. It provides annotation features for text classification, sequence labeling, and sequence to sequence tasks. You can create labeled data for …

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

cleanlab is: cleanlab supports Linux, macOS, and Windows and runs on Python 3.7+. cleanlab can find label issues from any model's predicted class probabilities if you can produce them yourself. This …

a library for audio and music analysis

aubio is a library to label music and sounds. It listens to audio signals and attempts to detect events. For instance, when a drum is hit, at which frequency is a note, or at what tempo is a rhythmic…

✨ Argilla: Open-source platform to build better language models through human feedback

Argilla Client: a powerful Python library for reading and writing data into Argilla, using all the libraries you love (transformers, spaCy, datasets, and any other). Argilla Server and UI: the API an…

✨ Rubrix, open-source framework for data-centric NLP. Data annotation and monitoring for enterprise NLP

Why Rubrix? Interactive weak supervision. Building a news classifier with user search queries: Getting started with Rubrix is as easy as: Then simply run: After a few iterations of data annotation, w…

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

Does one of these scenarios sounds familiar to you? If so, you are one of the people we've built refinery for. refinery helps you to build better NLP models in a data-centric approach. Semi-automate …

Open source audio annotation tool for humans

audino is an open source audio annotation tool. It provides features such as transcription and labeling which enables annotation for Voice Activity Detection (VAD), Diarization, Speaker Identificatio…

Type annotations builder for boto3 compatible with VSCode, PyCharm, Emacs, Sublime Text, pyright and mypy.

See how it helps to find and fix potential bugs: That's it! You should already have code completion and type checking in your IDE.

Do you like Quick, Draw? Well what if you could train/predict doodles drawn inside Streamlit? Also draws lines, circles and boxes over background images for annotation.

Copy this code snippet: Example: Both webpack dev server and Streamlit should run at the same time.

:camera: Reactive python package for managing, creating and visualizing different deep-learning image annotation formats

Image understanding is widely used in many areas like satellite imaging, robotic technologies, sensory networks, medical and biomedical imaging, intelligent transportation systems, etc. Recently sema…

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. It can translate bounding box annotations between different formats. (For exa…

Python based Open Source ETL tools for file crawling, document processing (text extraction, OCR), content analysis (Entity Extraction & Named Entity Recognition) & data enrichment (annotation) pipelines & ingestor to Solr or Elastic search index & linked data graph database

Simplest and fastest image and text annotation tool.

Install the Kili client with pip: Instantiate the Kili client: Here is a sample of the operations you can do with the Kili client:

A file-based ORM for Python dataclasses.

Some common use cases include: and decorate it with a directory pattern to synchronize instances: Then, work with instances of the class as normal: Changes to the object are automatically saved to th…

:rabbit: Python lib for remo - the app for annotations and images management in Computer Vision

Remo is a web-based application to organize, annotate and visualize Computer Vision datasets. Remo runs on Windows, Linux, Mac or directly in Google Colab Notebooks. It can also be served on a privat…

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

REST API and Python library for search, suggestion, recommendation, normalization, reconciliation, named entity extraction, named entity linking & named entity disambiguation of named entities li…

The open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.

Use Encord Active to visualize your data, evaluate your models, surface model failure modes, find labeling mistakes, prioritize high-value data for re-labeling and more! Encord Active helps you under…

Exploratory Video Analytics System

EVA comes with a wide range of commonly used computer vision models. It written in Python, and it is licensed under the Apache license.

Use ML-Annotate to label data for machine learning purposes

You can use ML-Annotate to label text data for machine learning purposes. ML-Annotate supports binary, multi-label and multi-class labeling. ML-Annotate requires Python 3.5 or later. Create neccessar…

Automatic tagging of clothing in E-Commerce, Using Tensorflow and GCP. Classify the clothing products into various categories using Machine Learning.

Classify the clothing products into various categories using Machine Learning. From startups to small businesses right through to huge brands, there are a huge number of companies that can benefit fr…

OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

The SDK allows you to retrieve visual and text features to build your own document models. Konfuzio Server serves as an UI to define the data structure, manage training/test data and to deploy your m…

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